Jun-27-2021, 01:43 PM
algorithms you need depend on the type of data you have and the task to task to achieve;
for example: if you try to predict future events based on past events (this seems your task) you are dealing with a time series forecasting task ;
but the algorithms you choose will depends by: type, quantity and quality of your data;
useful libraries have already been suggested, BUT if you ask this question it means that: you have no idea what to do, and also if we suggest you some useful packages and models for time series, you will have problems in data pre-processing and to know how that algorithms works and how interpret the results ;
usually for TS You can apply autoregressive algorithms like ARIMA, but if you have enough data you can exploit more powerful deep learning models, but especially in this case you must have a firm knowledge of the subject and excellent knowledge of major frameworks like tensorflow and pytorch....
for example: if you try to predict future events based on past events (this seems your task) you are dealing with a time series forecasting task ;
but the algorithms you choose will depends by: type, quantity and quality of your data;
useful libraries have already been suggested, BUT if you ask this question it means that: you have no idea what to do, and also if we suggest you some useful packages and models for time series, you will have problems in data pre-processing and to know how that algorithms works and how interpret the results ;
usually for TS You can apply autoregressive algorithms like ARIMA, but if you have enough data you can exploit more powerful deep learning models, but especially in this case you must have a firm knowledge of the subject and excellent knowledge of major frameworks like tensorflow and pytorch....